Abstract: This article aims at solving the problems of data-driven control design in the presence of strong uncertainties, hard nonlinearities, and model dependency by using a dynamic linearization ...

Abstract: The Kalman Filter (KF) is a classical algorithm that was developed for estimating a state that evolves in time based on noisy measurements by assuming linear state transition and ...

This repository contains the problem instances and source code used in the article Recursive McCormick Linearization of Multilinear Programs, authored by David Bergman, Carlos Cardonha, Arvind U.

The low dynamic range (LDR) of common cameras fails to capture the rich contrast in natural scenes, resulting in loss of color and details in saturated pixels. Reconstructing the high dynamic range ...